Search Results - "Guo, Qing"

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  1. 1

    XGBoost Model for Chronic Kidney Disease Diagnosis by Ogunleye, Adeola, Wang, Qing-Guo

    “…Chronic Kidney Disease (CKD) is a menace that is affecting 10 percent of the world population and 15 percent of the South African population. The early and…”
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  2. 2

    Merger Rate Distribution of Primordial Black Hole Binaries by Chen, Zu-Cheng, Huang, Qing-Guo

    Published in The Astrophysical journal (01-09-2018)
    “…Up to now several gravitational-wave events from the coalescences of black hole binaries have been reported by LIGO/VIRGO, and imply that black holes should…”
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  3. 3

    Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems With Backlash-Like Hysteresis by Fu, Cheng, Wang, Qing-Guo, Yu, Jinpeng, Lin, Chong

    “…This brief is concerned with the finite-time tracking control problem for switched nonlinear systems with arbitrary switching and hysteresis input. The neural…”
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  4. 4

    A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon‐Ocean Feedback in Typhoon Forecast Models by Jiang, GuoQing, Xu, Jing, Wei, Jun

    Published in Geophysical research letters (28-04-2018)
    “…Two algorithms based on machine learning neural networks are proposed—the shallow learning (S‐L) and deep learning (D‐L) algorithms—that can potentially be…”
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  5. 5

    Stochastic Gravitational-wave Background from Binary Black Holes and Binary Neutron Stars and Implications for LISA by Chen, Zu-Cheng, Huang, Fan, Huang, Qing-Guo

    Published in The Astrophysical journal (20-01-2019)
    “…The advent of gravitational-wave and multimessenger astronomy has stimulated research on the formation mechanisms of binary black holes (BBHs) observed by the…”
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  6. 6

    Dual-Path Mixed-Domain Residual Threshold Networks for Bearing Fault Diagnosis by Chen, Yongyi, Zhang, Dan, Zhang, Hui, Wang, Qing-Guo

    “…Intelligent bearing fault diagnosis based on deep learning is one of the hotspots in mechanical equipment monitoring applications. However, traditional deep…”
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  7. 7

    Resilient Distributed Optimization Algorithm Against Adversarial Attacks by Zhao, Chengcheng, He, Jianping, Wang, Qing-Guo

    Published in IEEE transactions on automatic control (01-10-2020)
    “…As the cyber-attack is becoming one of the most challenging threats faced by cyber-physical systems, investigating the effect of cyber-attacks on distributed…”
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  8. 8

    Fundamentals of TiO2 Photocatalysis: Concepts, Mechanisms, and Challenges by Guo, Qing, Zhou, Chuanyao, Ma, Zhibo, Yang, Xueming

    Published in Advanced materials (Weinheim) (01-12-2019)
    “…Photocatalysis has been widely applied in various areas, such as solar cells, water splitting, and pollutant degradation. Therefore, the photochemical…”
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  9. 9

    Gravitational waves induced by the local-type non-Gaussian curvature perturbations by Yuan, Chen, Huang, Qing-Guo

    Published in Physics letters. B (10-10-2021)
    “…The current observational constraints still leave a substantial mass window ∼[10−16,10−14]∪[10−13,10−12]M⊙ for primordial black holes (PBHs) representing all…”
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  10. 10

    Global Output-Feedback Prescribed Performance Control of Nonlinear Systems With Unknown Virtual Control Coefficients by Zhang, Jin-Xi, Wang, Qing-Guo, Ding, Wei

    Published in IEEE transactions on automatic control (01-12-2022)
    “…This article is concerned with the output-feedback tracking control problem for a class of nonlinear systems. The challenge lies in how to drive the tracking…”
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  11. 11

    Artemisinin compounds sensitize cancer cells to ferroptosis by regulating iron homeostasis by Chen, Guo-Qing, Benthani, Fahad A., Wu, Jiao, Liang, Deguang, Bian, Zhao-Xiang, Jiang, Xuejun

    Published in Cell death and differentiation (01-01-2020)
    “…The antimalarial drug artemisinin and its derivatives have been explored as potential anticancer agents, but their underlying mechanisms are controversial. In…”
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  12. 12

    Finite-Time Tracking Control for Nonlinear Systems via Adaptive Neural Output Feedback and Command Filtered Backstepping by Zhao, Lin, Yu, Jinpeng, Wang, Qing-Guo

    “…This article is concerned with the tracking control problem for uncertain high-order nonlinear systems in the presence of input saturation. A finite-time…”
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  13. 13

    Finite-Time Adaptive Fuzzy Control for MIMO Nonlinear Systems With Input Saturation via Improved Command-Filtered Backstepping by Cui, Guozeng, Yu, Jinpeng, Wang, Qing-Guo

    “…In this article, the problem of finite-time adaptive fuzzy tracking control for multi-input and multi-output (MIMO) nonlinear systems with input saturation is…”
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  14. 14

    Distributed Filtering for Switched Linear Systems With Sensor Networks in Presence of Packet Dropouts and Quantization by Dan Zhang, Zhenhua Xu, Karimi, Hamid Reza, Qing-Guo Wang

    “…This paper is concerned with the distributed H ∞ filtering problem of discrete-time switched linear systems in sensor networks in face of packet dropouts and…”
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  15. 15

    Pulsar Timing Array Constraints on Primordial Black Holes with NANOGrav 11-Year Dataset by Chen, Zu-Cheng, Yuan, Chen, Huang, Qing-Guo

    Published in Physical review letters (26-06-2020)
    “…The detection of binary black hole coalescences by LIGO and Virgo has aroused the interest in primordial black holes (PBHs), because they could be both the…”
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  16. 16

    Convex Optimization-Based Adaptive Fuzzy Control for Uncertain Nonlinear Systems With Input Saturation Using Command Filtered Backstepping by Liu, Jiapeng, Wang, Qing-Guo, Yu, Jinpeng

    Published in IEEE transactions on fuzzy systems (01-06-2023)
    “…This article presents a modified command filter backstepping tracking control strategy for a class of uncertain nonlinear systems with input saturation based…”
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  17. 17

    Impact of a Spinning Supermassive Black Hole on the Orbit and Gravitational Waves of a Nearby Compact Binary by Fang, Yun, Chen, Xian, Huang, Qing-Guo

    Published in The Astrophysical journal (20-12-2019)
    “…Recent theoretical studies suggest that stellar-mass binary black holes (BBHs) would merge more efficiently due to the Kozai-Lidov (K-L) mechanism if these…”
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  18. 18

    Event-Triggered Adaptive Neural Network Tracking Control for Uncertain Systems With Unknown Input Saturation Based on Command Filters by Liu, Jiapeng, Wang, Qing-Guo, Yu, Jinpeng

    “…This brief presents a modified event-triggered command filter backstepping tracking control scheme for a class of uncertain nonlinear systems with unknown…”
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  19. 19

    Confronting the primordial black hole scenario with the gravitational-wave events detected by LIGO-Virgo by Chen, Zu-Cheng, Yuan, Chen, Huang, Qing-Guo

    Published in Physics letters. B (10-06-2022)
    “…Adopting a binned method, we model-independently reconstruct the mass function of primordial black holes (PBHs) from GWTC-3 and find that such a PBH mass…”
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  20. 20

    Input/output-to-state stability of impulsive switched systems by Li, Xiaodi, Li, Peng, Wang, Qing-guo

    Published in Systems & control letters (01-06-2018)
    “…This paper studies the input/output-to-state stability (IOSS) of impulsive switched systems. With the help of Lyapunov and average dwell-time (ADT) methods,…”
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